Dataset Information

MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection.

ABSTRACT: A fully-labeled image dataset provides a unique resource for reproducible research inquiries and data analyses in several computational fields, such as computer vision, machine learning and deep learning machine intelligence. With the present contribution, a large-scale fully-labeled image dataset is provided, and made publicly and freely available to the research community. The current dataset entitled MCIndoor20000 includes more than 20,000 digital images from three different indoor object categories, including doors, stairs, and hospital signs. To make a comprehensive dataset addressing current challenges that exist in indoor objects modeling, we cover a multiple set of variations in images, such as rotation, intra-class variation plus various noise models. The current dataset is freely and publicly available at https://github.com/bircatmcri/MCIndoor20000.

SUBMITTER: Bashiri FS

PROVIDER: S-EPMC5988436 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection.

Bashiri Fereshteh S FS LaRose Eric E Peissig Peggy P Tafti Ahmad P AP

Data in brief 20180103

A fully-labeled image dataset provides a unique resource for reproducible research inquiries and data analyses in several computational fields, such as computer vision, machine learning and deep learning machine intelligence. With the present contribution, a large-scale fully-labeled image dataset is provided, and made publicly and freely available to the research community. The current dataset entitled <i>MCIndoor20000</i> includes more than 20,000 digital images from three different indoor obj ...[more]

PMID: 29876376

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Dataset Information

MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection.

Publications

MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection.

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